Science Forum: Improving pandemic influenza risk assessment

  1. Colin A Russell  Is a corresponding author
  2. Peter M Kasson
  3. Ruben O Donis
  4. Steven Riley
  5. John Dunbar
  6. Andrew Rambaut
  7. Jason Asher
  8. Stephen Burke
  9. C Todd Davis
  10. Rebecca J Garten
  11. Sandrasegaram Gnanakaran
  12. Simon I Hay
  13. Sander Herfst
  14. Nicola S Lewis
  15. James O Lloyd-Smith
  16. Catherine A Macken
  17. Sebastian Maurer-Stroh
  18. Elizabeth Neuhaus
  19. Colin R Parrish
  20. Kim M Pepin
  21. Samuel S Shepard
  22. David L Smith
  23. David L Suarez
  24. Susan C Trock
  25. Marc-Alain Widdowson
  26. Dylan B George
  27. Marc Lipsitch
  28. Jesse D Bloom
  1. University of Cambridge, United Kingdom
  2. University of Virginia, United States
  3. Centers for Disease Control and Prevention, United States
  4. School of Public Health, Imperial College London, United Kingdom
  5. Los Alamos National Laboratory, United States
  6. National Institutes of Health, United States
  7. Biomedical Advanced Research and Development Authority, Department of Health and Human Services, United States
  8. University of Oxford, United Kingdom
  9. Postgraduate School of Molecular Medicine, Erasmus Medical Center, Netherlands
  10. Agency for Science Technology and Research, Singapore
  11. College of Veterinary Medicine, Cornell University, United States
  12. United States Department of Agriculture, United States
  13. Harvard School of Public Health, United States
  14. Fred Hutchinson Cancer Research Center, United States
3 figures

Figures

Evidence for concern and actions to mitigate influenza pandemics.

Types of evidence that have been, or could be, used to justify specific preparedness or mitigation actions prior to evidence of sustained human-to-human transmission, largely based on the authors' interpretation of national and international responses to H5N1, H7N9, and H3N2v outbreaks (Epperson et al., 2013, WHO, 2011). Red indicates largely sufficient, orange partly sufficient, yellow minimally sufficient, gray insufficient. * high pathogenicity phenotype as defined by the World Organization for Animal Health (OIE)(OIE, 2013).

https://doi.org/10.7554/eLife.03883.002
Schematic of potential relationships from virus genetic sequence to level of public health concern/pandemic risk.

Pandemic risk is a combination of the probability that a virus will cause a pandemic and the human morbidity and mortality that might result from that pandemic. Arrows represent possible relationships between levels and are not intended to summarize current knowledge.

https://doi.org/10.7554/eLife.03883.003
Geographic distribution of publicly available influenza virus genetic sequence data in comparison to poultry and swine populations.

(A) Proportions of worldwide animal population by country (data from the Food and Agriculture Organization of the United Nations). (B) Number of unique influenza viruses for which sequence data exists in public databases from poultry or swine by country. Numbers of influenza virus sequences are not representative of influenza virus surveillance activities. Information regarding surveillance activities is not readily available. Virological surveillance, even if robust, may result in negative findings and is not captured in these figures. Most countries do not sequence every influenza virus isolate and some countries conduct virological surveillance without sharing sequence data publicly. Sequences deposited in public databases can reflect uneven geographic distribution and interest regarding viruses of concern such as H5N1 and H9N2.

https://doi.org/10.7554/eLife.03883.004

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  1. Colin A Russell
  2. Peter M Kasson
  3. Ruben O Donis
  4. Steven Riley
  5. John Dunbar
  6. Andrew Rambaut
  7. Jason Asher
  8. Stephen Burke
  9. C Todd Davis
  10. Rebecca J Garten
  11. Sandrasegaram Gnanakaran
  12. Simon I Hay
  13. Sander Herfst
  14. Nicola S Lewis
  15. James O Lloyd-Smith
  16. Catherine A Macken
  17. Sebastian Maurer-Stroh
  18. Elizabeth Neuhaus
  19. Colin R Parrish
  20. Kim M Pepin
  21. Samuel S Shepard
  22. David L Smith
  23. David L Suarez
  24. Susan C Trock
  25. Marc-Alain Widdowson
  26. Dylan B George
  27. Marc Lipsitch
  28. Jesse D Bloom
(2014)
Science Forum: Improving pandemic influenza risk assessment
eLife 3:e03883.
https://doi.org/10.7554/eLife.03883